Xiaotao Guo
About Xiaotao Guo
Xiaotao Guo is a Software Engineer II specializing in Mapping and Localization at Torc Robotics, where he has worked since 2021. He holds a Master's degree in Electrical and Computer Engineering from the University of California San Diego and a Bachelor's degree in Mechanical Engineering from Zhejiang University.
Work at Torc Robotics
Xiaotao Guo currently holds the position of Software Engineer II, specializing in Mapping and Localization at Torc Robotics. He has been with the company since 2021, contributing to advancements in autonomous vehicle technology. Prior to his current role, he worked as a Software Engineer at Torc Robotics from 2020 to 2021, where he gained experience in software development and algorithm implementation.
Education and Expertise
Xiaotao Guo earned a Master's degree in Electrical and Computer Engineering from the University of California San Diego, where he studied from 2018 to 2020. His academic background also includes a Bachelor's degree in Mechanical Engineering from Zhejiang University, which he completed from 2014 to 2018. This educational foundation supports his expertise in software engineering and algorithm development.
Background
Before joining Torc Robotics, Xiaotao Guo worked as a Research Assistant at Zhejiang University from 2016 to 2018. During this time, he engaged in research activities that enhanced his technical skills. Additionally, he served as an Algorithm Engineer Intern at Segway Robotics for three months in 2019, where he gained practical experience in algorithm design and implementation.
Professional Experience
Xiaotao Guo has accumulated diverse professional experience in the field of software engineering. His tenure at Torc Robotics includes roles focused on mapping and localization, critical components in autonomous systems. His previous positions, including his internship at Segway Robotics and research assistantship at Zhejiang University, have provided him with a solid foundation in algorithm development and engineering principles.